{"attribution":{"source":"AI Incident Database (Responsible AI Collaborative)","license":"CC BY-SA 4.0","license_url":"https://creativecommons.org/licenses/by-sa/4.0/","citation":"McGregor, S. (2021). Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. Proceedings of the AAAI Conference on Artificial Intelligence (IAAI-21).","snapshot_date":"2026-09-07"},"exported_at":"2026-09-11"}
{"rows":[{"incident_id":79,"occurred_on":"1999-03-16","title":"Kidney Testing Method Allegedly Underestimated Risk of Black Patients","description":"Decades-long use of the estimated glomerular filtration rate (eGFR) method to test kidney function which considers race has been criticized by physicians and medical students for its racist history and inaccuracy against Black patients.","mit_domain":"Discrimination and Toxicity","mit_subdomain":"Unfair discrimination and misrepresentation","entity":"AI","intent":"Unintentional","timing":"Post-deployment","harm_level":"none","sectors":["human health and social work activities"],"countries":["US"],"deployers":["Chronic Kidney Disease Epidemiology Collaboration"],"developers":["Chronic Kidney Disease Epidemiology Collaboration"],"harmed":["Black Patients, African American Patients"],"report_count":3}]}